How to Use the Eurostat Full Access — EU Statistical Intelligence MCP in Google ADK

Q: How do I initialize Eurostat Full Access — EU Statistical Intelligence in Google ADK?

Create a McpToolset using StreamableHttpServerParameters with your Vinkius URL. Pass this MCP toolset into your LlmAgent configuration.

Q: Can Google ADK agents search the Eurostat Full Access — EU Statistical Intelligence catalog?

They can. The agent uses searchdatasets to find keywords, then calls getdataset to pull the specific dimensions it needs for the model.

Q: Can I restrict which statistical tools the agent sees?

Yes. Pass a list of specific strings to the toolnames parameter. This forces the agent to only see getinflation instead of the entire 26-tool catalog.

Q: Is my trade query history stored on the server?

No. Every time your agent calls gettradebyproduct, the request executes in a zero-trust, isolated environment. Vinkius drops the instance immediately, leaving no trace of your supply chain research.

Feed 7,000+ Eurostat datasets directly into Google ADK agents with this MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Eurostat Full Access — EU Statistical Intelligence MCP to Google ADK

Create your Vinkius account to connect Eurostat Full Access — EU Statistical Intelligence to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Eurostat Full Access — EU Statistical Intelligence with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Inject MCP Server data into BigQuery

`get_economic_dataset` pulls raw EU financial tables straight into your Google Cloud environment. Your Gemini agent grabs the `nama_10_gdp` dataset and immediately cross-references it with your internal sales data sitting in BigQuery. Fetching `get_interest_rates` gives your agent the exact ECB short-term and long-term bond yields. Because Gemini handles massive context windows, the agent can ingest decades of monthly rate changes in a single prompt.

Long-context environmental analysis

`get_emissions` provides greenhouse gas tonnage broken down by energy, transport, and agriculture. Your Google ADK agent pulls this alongside `get_waste_statistics` to build a complete circular economy profile for any member state. The agent uses `get_agriculture_data` to track cereal and wine grape production across the bloc. You can dump thousands of rows of Common Agricultural Policy metrics into the context window without hitting token limits.

Targeted EU trade volume fetching

`get_trade_dataset` allows your agent to query specific industrial and trade codes like `sts_inpr_m`. If you only want specific tools exposed to the MCP agent, use the `tool_names` filter in the ADK setup to restrict access. Calling `get_exchange_rates` fetches daily EUR bilateral rates against major global currencies. The agent pairs this with `get_retail_trade` to model consumer spending power across different Eurozone borders.

Setup guide

Set up Eurostat Full Access — EU Statistical Intelligence MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Eurostat Full Access — EU Statistical Intelligence tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Eurostat Full Access — EU Statistical Intelligence_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Eurostat Full Access — EU Statistical Intelligence tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Eurostat. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Eurostat Full Access — EU Statistical Intelligence now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Eurostat Full Access — EU Statistical Intelligence MCP in Google ADK

Create a `McpToolset` using `StreamableHttpServerParameters` with your Vinkius URL. Pass this MCP toolset into your `LlmAgent` configuration.

They can. The agent uses `search_datasets` to find keywords, then calls `get_dataset` to pull the specific dimensions it needs for the model.

Gemini models support million-token contexts. You can pull thousands of historical outputs from `get_employment` and `get_minimum_wages` simultaneously without truncating the response.

Yes. Pass a list of specific strings to the `tool_names` parameter. This forces the agent to only see `get_inflation` instead of the entire 26-tool catalog.

No. Every time your agent calls `get_trade_by_product`, the request executes in a zero-trust, isolated environment. Vinkius drops the instance immediately, leaving no trace of your supply chain research.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript